Enso Recruitment are currently recruiting on behalf of a leading product development team in Belfast as they seek to add a VP of Engineering to their team throughout a period of rapid expansion.
The Opportunity
Our client is looking for a VP of Engineering to lead, scale, and inspire a world-class engineering team. This role is both strategic and hands-on, responsible for delivering the next generation of their SaaS platform. As the VP of Engineering, you’ll oversee architectural decisions, product scalability, and AI/ML integration while working cross-functionally with product, design, and go-to-market teams.
Ideal for a tech leader who thrives in a fast-paced, mission-driven environment, this role offers the chance to make a lasting impact on product innovation, engineering culture, and customer success.
Key Responsibilities
Leadership & Team Management:
* Lead, grow, and mentor a high-performing distributed engineering team.
* Define goals, manage performance reviews, and support career development.
* Drive recruitment efforts, from drafting job descriptions to conducting interviews.
* Foster a culture of accountability, innovation, and operational excellence.
Technology & Delivery Oversight:
* Shape the technical roadmap, ensuring scalability and AI/ML integration.
* Provide hands-on guidance in sprint planning, backlog refinement, and daily standups.
* Oversee architecture, code quality, performance, and security standards.
* Promote engineering best practices including automated testing, documentation, and agile adherence.
AI & Machine Learning Integration:
* Champion the integration of AI/ML into core products and workflows.
* Collaborate with product leaders to deliver robust, ethical AI-driven features.
* Drive innovation in AI-powered customer-facing solutions and internal tools.
The ideal candidate profile
You bring expertise in:
* Leading diverse, distributed teams across geographies.
* Full-stack development and scalable SaaS architectures.
* Communicating technical ideas to stakeholders of all backgrounds.
* Agile/Scrum methodologies, continuous integration, and test automation.
You have experience with:
* AI/ML product lifecycle and cloud-based infrastructure (preferably AWS).
* Tools and platforms like Git, CI/CD pipelines, containerisation, and message queues.
* Scaling platforms from startup through growth stages.
Nice to have:
* Experience in developing AI-enabled go-to-market features.
* Familiarity with non-relational/NoSQL databases and AI compliance (e.g., data privacy, model governance).
* Domain knowledge in sectors such as cybersecurity, fintech, or enterprise SaaS.
Requirements
* Bachelor’s or Master’s in Computer Science, Engineering, or related field (or equivalent experience).
* 10+ years in software engineering, including 5+ years in senior leadership roles.
* Proven success in leading high-impact engineering teams.
* Agile or Scrum certification preferred.